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ORCIDStefanos Ougiaroglou
- > Home > Persons > Stefanos Ougiaroglou
Publications
- 2023
[j12]Stefanos Ougiaroglou, Panagiotis Filippakis, Georgia Fotiadou, Georgios Evangelidis:
Data reduction via multi-label prototype generation. Neurocomputing 526: 1-8 (2023)- [j11]Panagiotis Filippakis
, Stefanos Ougiaroglou, Georgios Evangelidis:
Prototype Selection for Multilabel Instance-Based Learning. Inf. 14(10): 572 (2023) - [c29]Panagiotis Filippakis, Stefanos Ougiaroglou, Georgios Evangelidis:
Condensed Nearest Neighbour Rules for Multi-Label Datasets. IDEAS 2023: 43-50 - [c28]Stefanos Ougiaroglou, Georgios Evangelidis:
Very fast variations of training set size reduction algorithms for instance-based classification. IDEAS 2023: 64-70 - 2022
- [j10]Stefanos Ougiaroglou, Theodoros Mastromanolis, Georgios Evangelidis, Dionisis Margaris:
Fast Training Set Size Reduction Using Simple Space Partitioning Algorithms. Inf. 13(12): 572 (2022) - [j9]Thomas Giorginis, Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos:
Fast data reduction by space partitioning via convex hull and MBR computation. Pattern Recognit. 126: 108553 (2022) - 2021
- [c26]Stefanos Ougiaroglou, Panagiotis Filippakis, Georgios Evangelidis:
Prototype Generation for Multi-label Nearest Neighbours Classification. HAIS 2021: 172-183 - [c25]Merkourios Papanikolaou, Georgios Evangelidis, Stefanos Ougiaroglou:
Dynamic k determination in k-NN classifier: A literature review. IISA 2021: 1-8 - [c24]Konstantinos Xouveroudis, Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos:
Prototype Selection and Generation with Minority Classes Preservation. IISA 2021: 1-8 - 2020
- [j8]Stefanos Ougiaroglou, Dimitris A. Dervos, Georgios Evangelidis:
Instance-based classification using prototypes generated from large noisy and streaming datasets. Comput. Sci. Inf. Syst. 17(1): 71-92 (2020) - [c23]Stefanos Ougiaroglou, Georgios Evangelidis, Konstantinos I. Diamantaras:
Dynamic k-NN Classification Based on Region Homogeneity. ADBIS (Short Papers) 2020: 27-37 - 2019
- [c21]Pavlos Ponos, Stefanos Ougiaroglou, Georgios Evangelidis:
Improving Data Reduction by Merging Prototypes. ADBIS 2019: 20-32 - [c20]Pavlos Ponos, Stefanos Ougiaroglou, Georgios Evangelidis:
The Effect of Parallelism on Data Reduction. BCI 2019: 33:1-33:4 - [c19]George Pardis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, Georgios Evangelidis:
Fast Tree-Based Classification via Homogeneous Clustering. IDEAL (1) 2019: 514-524 - 2018
- [j7]Stefanos Ougiaroglou, Konstantinos I. Diamantaras, Georgios Evangelidis:
Exploring the effect of data reduction on Neural Network and Support Vector Machine classification. Neurocomputing 280: 101-110 (2018) - 2017
- [c18]Stefanos Ougiaroglou, Georgios Arampatzis, Dimitris A. Dervos, Georgios Evangelidis:
Generating Fixed-Size Training Sets for Large and Streaming Datasets. ADBIS 2017: 88-102 - 2016
- [j6]Stefanos Ougiaroglou, Georgios Evangelidis:
Efficient editing and data abstraction by finding homogeneous clusters. Ann. Math. Artif. Intell. 76(3-4): 327-349 (2016) - [j5]Stefanos Ougiaroglou, Georgios Evangelidis:
RHC: a non-parametric cluster-based data reduction for efficient k-NN classification. Pattern Anal. Appl. 19(1): 93-109 (2016) - [c16]Stefanos Ougiaroglou, Konstantinos I. Diamantaras, Georgios Evangelidis:
Efficient Support Vector Machine Classification Using Prototype Selection and Generation. AIAI 2016: 328-340 - 2015
- [j4]Stefanos Ougiaroglou, Georgios Evangelidis, Dimitris A. Dervos:
FHC: an adaptive fast hybrid method for k-NN classification. Log. J. IGPL 23(3): 431-450 (2015) - [c15]Stefanos Ougiaroglou, Georgios Evangelidis:
Dealing with noisy data in the context of k-NN Classification. BCI 2015: 28:1-28:4 - 2014
- [j3]Stefanos Ougiaroglou, Georgios Evangelidis:
Efficient $$k$$ k -NN classification based on homogeneous clusters. Artif. Intell. Rev. 42(3): 491-513 (2014) - [j2]Stefanos Ougiaroglou, Georgios Evangelidis:
Efficient data abstraction using weighted IB2 prototypes. Comput. Sci. Inf. Syst. 11(2): 665-678 (2014) - [c14]Stefanos Ougiaroglou, Georgios Evangelidis:
EHC: Non-parametric Editing by Finding Homogeneous Clusters. FoIKS 2014: 290-304 - [c13]Stefanos Ougiaroglou, Georgios Evangelidis:
WebDR: A Web Workbench for Data Reduction. ECML/PKDD (3) 2014: 464-467 - 2013
- [c12]Stefanos Ougiaroglou, Georgios Evangelidis:
AIB2: an abstraction data reduction technique based on IB2. BCI 2013: 13-16 - [c11]Stefanos Ougiaroglou, Leonidas Karamitopoulos, Christos Tatoglou, Georgios Evangelidis, Dimitrios Dervos:
Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification. ICANN 2013: 34-41 - [i1]Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos:
An Extensive Experimental Study on the Cluster-based Reference Set Reduction for speeding-up the k-NN Classifier. CoRR abs/1309.7750 (2013) - 2012
- [c10]Stefanos Ougiaroglou, Georgios Evangelidis:
Efficient dataset size reduction by finding homogeneous clusters. BCI 2012: 168-173 - [c9]Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos:
An Adaptive Hybrid and Cluster-Based Model for Speeding Up the k-NN Classifier. HAIS (2) 2012: 163-175 - [c8]Stefanos Ougiaroglou, Georgios Evangelidis:
A Simple Noise-Tolerant Abstraction Algorithm for Fast k-NN Classification. HAIS (2) 2012: 210-221 - [c6]Stefanos Ougiaroglou, Georgios Evangelidis:
A Fast Hybrid k-NN Classifier Based on Homogeneous Clusters. AIAI (1) 2012: 327-336 - [c5]Stefanos Ougiaroglou, Georgios Evangelidis:
Fast and Accurate k-Nearest Neighbor Classification Using Prototype Selection by Clustering. Panhellenic Conference on Informatics 2012: 168-173 - 2011
- [c3]Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos:
A fast hybrid classification algorithm based on the minimum distance and the k-NN classifiers. SISAP 2011: 97-104
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